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Feedback analysis: Server

This is the server/web app for a college faculty feedback application that we built over the course of 8 hours during D.J.S.C.O.E's ACM chapter's hackathon (API). The server provides GET/POST calls to interact with an Android application and also has pages that give an analysis based on the data recieved from the Android app.

We used sklearn for a Sentiment Analysis of the comments written by students, as well as a Bigram Collocation Finder using NLTK that would extract meaningul highlights from comments recieved, along with averages, strengths and weaknesses of individual teachers.

This was built in collaboration with @CCD-1997 and @jitendra9873. The android component of this application is here. The code is incredibly messy, and not meant for production, but it works!

Installing and running the server:

pip install -r requirements.txt
python manage.py runserver 0.0.0.0:8000